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Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference

B Wang, J Leja, A Villar, JS Speagle - arXiv preprint arXiv:2211.03747, 2022 - arxiv.org
Astrophysics paper astro-ph.IM Suggest

… Simulation-based inference (SBI) is a promising solution to the computational challenge put forth by next-generation astronomical surveys. It bypasses a traditional …

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BibTeX

@misc{wang2022montecarlotechniquesaddressing,
      title={Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference}, 
      author={Bingjie Wang and Joel Leja and Ashley Villar and Joshua S. Speagle},
      year={2022},
      eprint={2211.03747},
      archivePrefix={arXiv},
      primaryClass={astro-ph.IM},
      url={https//arxiv.org/abs/2211.03747}, 
}

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